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Privacy Preserving Machine Learning Jobs in Massachusetts

Axon

Privacy & AI Counsel

Boston, MA

From body-worn cameras and SaaS platforms to machine learning models and global privacy frameworks, you'll play a critical role in answering complex questions in highly regulated markets around the ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

Ensure models adhere to WHOOP's standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: * Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical ...

Vrtx

Director, AI Governance & Policy

Boston, MA · On-site

This role will lead the governance of generative AI, agentic AI, machine learning, and AI-enabled ... Partner with Legal, Privacy, Compliance, Quality, Information Security, Data Governance, and Data ...

Axon

Privacy & AI Counsel

Boston, MA · On-site

$135K - $190K/yr

From body-worn cameras and SaaS platforms to machine learning models and global privacy frameworks, you'll play a critical role in answering complex questions in highly regulated markets around the ...

Mass General Brigham

Research Fellow (Miller)

Boston, MA · On-site

$70K - $71K/yr

Complete Machine Learning analyses, data analysis and data presentation * Take administrative ... HIPAA Privacy Training and Sanctions All employees who have access to health information whose ...

Massgeneralbrigham

Research Fellow (Miller)

Boston, MA

$70K - $71K/yr

Complete Machine Learning analyses, data analysis and data presentation * Take administrative ... HIPAA Privacy Training and Sanctions All employees who have access to health information whose ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

... machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Massachusetts

Privacy Preserving Machine Learning information

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Massachusetts?

For Privacy Preserving Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Massachusetts look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Privacy Preserving Machine Learning jobs?

Cities in Massachusetts with the most Privacy Preserving Machine Learning job openings:

Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Distinguished Engineer - AI Security

Citizens

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Description

DISTINGUISHED ENGINEER, AI TOOLING & SECURITY

Why This Role Matters

This role will help define and secure the future of AI at Citizens. The Distinguished Engineer, AI Tooling & Security will shape enterprise engineering practices, accelerate responsible AI adoption, and ensure that AI driven capabilities are developed, deployed, and operated securely at scale while enabling innovation and business growth.

Role Summary

Citizens is seeking a highly accomplished Distinguished Engineer, AI Tooling & Security to drive the design, engineering, and security of AI powered platforms and applications across the enterprise. This role combines deep software engineering expertise with advanced security knowledge to ensure AI solutions are scalable, resilient, secure, and aligned with business objectives.

As a Distinguished Engineer, you will serve as a hands on technical leader and peer mentor, partnering with engineering, architecture, security, data, and business teams to shape the future of AI adoption at Citizens. You will lead the development of innovative solutions, establish engineering standards, influence strategic technology decisions, and advance secure AI capabilities across the organization.

Key Responsibilities

  • Lead the design, development, and implementation of innovative software solutions, platforms, and tools that support enterprise AI initiatives.
  • Collaborate with engineering and architecture teams to define scalable, secure, and maintainable technology solutions aligned with enterprise standards.
  • Build modern, cloud native applications and reusable components that accelerate business outcomes and technology innovation.
  • Incorporate scalability, reliability, performance, observability, and maintainability into distributed systems and platform designs.
  • Champion engineering excellence through code quality, automation, testing, and continuous improvement practices.
  • Serve as a senior technical leader and mentor, fostering a culture of innovation, accountability, and continuous learning.
  • Build and operationalize security controls that protect AI applications, models, agents, prompts, and outputs from misuse and abuse.
  • Secure the full AI and machine learning lifecycle, including data ingestion, model development, training, deployment, monitoring, and runtime operations.
  • Design safeguards against emerging AI threats, including prompt injection, data poisoning, model inversion, adversarial attacks, and unauthorized data exposure.
  • Strengthen identity, authentication, authorization, and access management controls for AI systems, APIs, services, and cloud environments.
  • Secure integrations between AI platforms and enterprise applications, databases, APIs, and SaaS solutions to prevent unauthorized access and data exfiltration.
  • Implement encryption, tokenization, data masking, and privacy preserving controls to protect sensitive information used by AI systems.
  • Develop monitoring, logging, detection, and alerting capabilities to identify anomalous AI behaviors, policy violations, and security threats.
  • Harden cloud platforms, containers, orchestration environments, and infrastructure supporting AI workloads.
  • Evaluate security risks associated with third party AI platforms and services, ensuring appropriate governance and control frameworks.
  • Integrate automated security validation, adversarial testing, and model robustness assessments into engineering and deployment pipelines.
  • Lead technical investigations and response activities related to AI security incidents, model misuse, and data exposure events.
  • Collaborate with architecture, governance, risk, compliance, and engineering teams to align AI security practices with regulatory requirements and business objectives.

Required Qualifications

  • 10+ years of software engineering, platform engineering, security engineering, or data engineering experience.
  • Demonstrated success leading large scale engineering initiatives and influencing technical direction across multiple teams.
  • Strong understanding of AI, machine learning, generative AI, and agentic AI architectures and implementation patterns.
  • Experience developing secure, cloud based applications and services.
  • Strong programming experience in Python and proficiency in at least one additional modern programming language.
  • Experience working with large scale data platforms and analytical workloads.
  • Hands on experience with AWS cloud technologies and securing sensitive workloads.
  • Strong Linux and scripting experience, including Bash.
  • Experience building and maintaining CI/CD pipelines using Jenkins, CircleCI, GitHub Actions, or similar technologies.
  • Deep understanding of application security, cloud security, identity and access management, API security, and secure software development practices.
  • Knowledge of AI security principles, model governance, threat modeling, and secure deployment patterns.
  • Strong understanding of data structures, algorithms, and distributed systems.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Proven ability to mentor and develop engineers while driving technical excellence.

Preferred Qualifications

  • Experience securing enterprise AI, machine learning, or generative AI platforms.
  • Experience within financial services, banking, fintech, or other highly regulated industries.
  • Cloud certifications such as AWS Solutions Architect, AWS Security Specialty, Azure Solutions Architect, or equivalent.
  • Experience with container platforms, Kubernetes, infrastructure as code, and platform engineering practices.
  • Familiarity with emerging AI governance, model risk management, and regulatory frameworks.

Education

  • Required: Bachelor's degree or equivalent combination of education and experience.
  • Preferred: Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Cybersecurity, or a related technical discipline.

Compensation
The salary range for this position is $175,000 to $250,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.

Benefits
Comprehensive benefits include medical, dental, and vision coverage, retirement plans, parental leave, flexible work arrangements, education reimbursement, wellness programs, and generous paid time off exceeding local requirements.

https://jobs.citizensbank.com/benefits.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST

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